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Computer Scientist

Manassas, VA

Description:

As a Computer Scientist, you will apply advanced computational techniques to design, develop, and optimize software and systems. Your responsibilities include creating innovative solutions for complex technical challenges, performing system integration, and customizing software and hardware to meet client needs. You will work on multiple projects concurrently, collaborating closely with cross-functional teams. Strong problem-solving skills, self-motivation, and the ability to manage deadlines and tasks in a dynamic environment are key to success in this role.

Required Qualifications:

Must have a current/active TS/SCI & Polygraph (some positions do not require clearances)

Minimum experience with BS in Computer Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Aerospace Engineering or relevant science or engineering discipline.

Experience with a wide range of programming efforts: network programming, hardware/software communications, database queries, image processing, embedded programming, desktop applications

Experience with digital signal processing

Proficient in one or more of the following languages: C/C++, Java, C#, Python, HTML/Java Script

Demonstrate an understanding of client/server, web-based, and server-side computing architectures focusing on metadata mining concepts.

Desired Qualifications:

Knowledge of and experience with implementation of the full software development life cycle.

Proficiency in the following: hardware and software design, software modeling, systems-level software testing, high consequence anomaly resolution and deployment of delivered systems.

Experience with relevant application and mission domains (ground systems/data centers/operations centers, remote sensing, senor technologies, proliferation detection, monitoring and surveillance).

Proven ability to construct and utilize modeling, simulation, and probability & statistics to predict, quantify, qualify results in numerical analysis languages and tools (Matlab, X-Midas, IDL, R, etc).

Experience with FPGA architectures and/or embedded software development for real-time systems.

Creativity and strong problem solving skills in utilizing data science and data analytic frameworks and applications including supervised and unsupervised classification, machine learning, applied statistics, and other skills.